Amazon RDS vs Google Cloud SQL comparison

Why PeerSpot?

Amazon Web Services (AWS) and Google are both solutions in the Database as a Service (DBaaS) category. Amazon Web Services (AWS) is ranked #2 with an average rating of 8.4, while Google is ranked #6 with an average rating of 7.4. Amazon Web Services (AWS) holds a 12.6% mindshare in DS, compared to Google’s 6.4% mindshare. Additionally, 98% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Amazon RDS

Read 59 Amazon RDS reviews

9,308 Views
7,912 Comparison Views

98% willing to recommend

Google Cloud SQL

Read 24 Google Cloud SQL reviews

4,786 Views
3,637 Comparison Views

100% willing to recommend

Amazon RDS

Google Cloud SQL

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jun 3, 2026

Amazon RDS and Google Cloud SQL are popular managed database services competing in the cloud database category. Amazon RDS appears to have the upper hand in cost-efficiency and supports more database engines, while Google Cloud SQL is noted for its integration and initial affordability.

Features: Amazon RDS provides a fully managed database environment with support for multiple engines like MySQL, Oracle, and PostgreSQL, automated administrative tasks, and strong encryption via KMS. Google Cloud SQL offers high availability options, integration with other Google Cloud services, and a flexible, scalable environment for SQL workloads.

Room for Improvement: Amazon RDS could enhance feature availability, improve Microsoft product integration, and provide clearer pricing and more accessible support. Google Cloud SQL needs better documentation and support for complex operations, enhanced integration capabilities, and improved AI functionalities in query analytics.

Ease of Deployment and Customer Service: Both Amazon RDS and Google Cloud SQL support public cloud deployments, with Amazon RDS also supporting hybrid setups. Customer service is adequate for both, though users desire more responsive support at premium tiers, with Amazon's segmented support response depending on service level agreements.

Pricing and ROI: Amazon RDS offers significant ROI through cost optimization and reduced database management needs, making it cost-effective despite potential pricing transparency issues. Google Cloud SQL is affordable, particularly with its community-source licensing, and both platforms show strong ROI across various scenarios.

To learn more, read our detailed Amazon RDS vs. Google Cloud SQL Report (Updated: November 2026).

Buyer's Guide

Amazon RDS vs. Google Cloud SQL

November 2026

Download the complete report

Helped 920,769 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon RDS

Ranking in Database as a Service (DBaaS)

2nd

Ranking in Relational Databases Tools

17th

Average Rating

8.4

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud SQL

Ranking in Database as a Service (DBaaS)

6th

Ranking in Relational Databases Tools

23rd

Average Rating

8.2

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Database Management Systems (DBMS) (11th)

Mindshare comparison

As of November 2026, in the Database as a Service (DBaaS) category, the mindshare of Amazon RDS is 12.6%, down from 17.5% compared to the previous year. The mindshare of Google Cloud SQL is 6.4%, down from 9.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
Amazon RDS	12.6%
Google Cloud SQL	6.4%
Other	81.0%

Database as a Service (DBaaS)

Featured Reviews

Donny Trijatmiko

Dev Ops Engineer at MyRobin.ID

Managed databases have simplified recovery and high availability for AI recruitment workloads

The features of Amazon RDS that I have found most valuable and useful so far are its fully managed service, point-in-time restore, and other serverless features such as snapshots and backups, which have eased my job to manage databases. The automated backups of Amazon RDS help in data recovery by mitigating disaster recovery. I can revert to the nearest time if there is any data corruption or other issues, and this helps tremendously. I assess Amazon RDS's read replica feature for improving application performance as good. For standby nodes in Amazon RDS, I am using them for high failover, and so far it has been performing well. I have used Amazon RDS's Multi-AZ deployments, and it helps enhance data availability by providing high failover. It enhances high availability for my application as well.

Read full review

RituRaj

SDE 2 at Virtusa

Drag and drop workflows have simplified data mapping and currently improve my cloud database work

The IPaaS Connector, which I have found most valuable, is part of Google Cloud SQL. Google Cloud's user interface is really good, which improves efficiency in my database operations. The UI is excellent, making it easier to understand what we are doing. Currently, I am working on IPaaS Connector, so it is really just a clickable interface without writing any code. I simply use drag and drop and connecting lines, and it is working. Google Cloud SQL's global infrastructure improves our database's latency metrics because we are using Gemini in our project. Since both are products of Google, it makes our product faster.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"With RDS, everything is turnkey and always available."

"Based on my experience, I would rate this solution a nine out of ten."

"Despite the issues around pricing and technical support, RDS is a good choice for organizations due to the fact that it's very easy to use."

"The scalability is the best, and I have no issues with the ability to scale."

"Being able to change the size of an RDS MySQL instance is amazing."

"The most valuable features of the solution stem from the fact that it requires an easy setup phase, and it is also easy to use while not being too heavy on its users."

"Relational databases excel in extensive normalization, eliminating data redundancy and efficiently structuring tables which leads to a clear and efficient relationship between tables using primary keys."

"For me, RDS is a great solution, and I like that Amazon RDS is a very simple solution to implement and to start using."

More Amazon RDS pros

"It runs really well, it's cheap, it's efficient, it's user-friendly."

"It's all built into the web browser, so any operating system will work."

"This is a stable solution and offers good performance."

"From a database management perspective, it provides services without the need for me to worry about backups, scaling, or other operational issues."

"The most valuable features are that it's easy to use, simple, and user-friendly."

"Google Cloud SQL is very easy to use and easy to set up; it brings the benefits of being simple to perform queries, store data that I needed to store, and extract data when I needed to extract it quite quickly, without having to set up a full database and queries around it."

"Licensing is not applicable; pricing is reasonable."

"The solution is easy to use. I am impressed with the tool's features and functionality."

More Google Cloud SQL pros

Cons

"In the next release, it would be great to have access to core parameters to improve or tweak the performance."

"In the next release, it would be great to see RDS provide connection pooling out of the box."

"The solution is a bit expensive."

"When we depend on the AWS technical team, we need to pay more. For tech support, they are charging about 25% of the actual bill, which is too high for me."

"The solution could improve by adding a sandbox environment and more security."

"The running cost could be improved."

"User interface needs improvement for using IPS and CloudWatch to scale and utilize read replicas, enabling performance insights to view query formats where the bottlenecks occur, identifying the fixes, slow queries, and missing indexes, improving the security and monitoring with alerts."

"There are some use cases that might come up where we would want to understand the performance aspects better."

More Amazon RDS cons

"For data analysis, the AI area of the product has certain shortcomings where improvements are required."

"To create a seamless data integration, the title integration of these databases with the data integration platforms is essential. This is what we would like to have in a future release."

"They could improve documentation and dashboard stability for efficient user experience and database management."

"The purging of the data could be better."

"I would like to see better integration with all the different tools on the platform."

"It is hard to do logging with the solution."

"For write operations – yes, as there is no MySQL clustering mode."

"The most vulnerable problem with Google SQL is that while you can customize your access control list, it provides you with a public IP address."

More Google Cloud SQL cons

Pricing and Cost Advice

"The platform pricing is on the higher side, but given its capabilities and ease of use, it remains competitive."

"The substantial initial credit and cost-effectiveness make Amazon an attractive option."

"The cost depends on the kind of instance we use."

"Amazon RDS could improve by reducing the price."

"By using a combination of Reserve Instances and On-Demand pricing, you can reduce the cost."

"Amazon RDS is an expensive solution."

"The solution's pricing needs improvement."

"AWS is becoming pretty expensive because cheap or absolutely free services have become paid services. Amazon RDS is not an expensive product, but Amazon's ecosystem is becoming increasingly expensive."

More Amazon RDS pricing and cost advice

"It is not expensive, especially considering the significant reduction in database management time."

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."

"The solution is affordable."

"The pricing is very much an important factor as to why we use this solution."

"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."

"From a financial perspective, Google Cloud SQL is on the cheaper side."

"You need to pay extra costs for backup and replication."

See which vendors are best for you

Use our free recommendation engine to learn which Database as a Service (DBaaS) solutions are best for your needs.

See recommendations

920,769 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Construction Company

10%

Outsourcing Company

Financial Services Firm

University

Educational Organization

13%

Financial Services Firm

12%

Comms Service Provider

11%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	23
Midsize Enterprise	16
Large Enterprise	24

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	10

Questions from the Community

What is your experience regarding pricing and costs for Amazon RDS?

The pricing for Amazon RDS is reasonable.

See all answers

What needs improvement with Amazon RDS?

I think Amazon RDS can be improved or enhanced if it can be implemented with other monitoring tools such as Percona. Currently, I am trying to add Percona monitoring for monitoring in addition to i...

See all answers

What is your primary use case for Amazon RDS?

Amazon RDS is typically used for AI applications. I am developing it for an AI recruitment agent and for collecting data for HRIS, Software as a Service for a workforce as a service, and storing data.

See all answers

What is your experience regarding pricing and costs for Google Cloud SQL?

We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.

See all answers

What needs improvement with Google Cloud SQL?

I would to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Con...

See all answers

What is your primary use case for Google Cloud SQL?

I am not working with Oracle; everything I am working on is on Google. I would like to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I ha...

See all answers

Comparisons

MongoDB Atlas vs Amazon RDS

Compared 10% of the time

Microsoft Azure SQL Database vs Amazon RDS

Compared 7% of the time

Oracle Database as a Service vs Amazon RDS

Compared 6% of the time

Google Cloud Spanner vs Amazon RDS

Compared 6% of the time

YugabyteDB vs Amazon RDS

Compared 5% of the time

More Amazon RDS Competitors

MongoDB Atlas vs Google Cloud SQL

Compared 12% of the time

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 12% of the time

Amazon Aurora vs Google Cloud SQL

Compared 7% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 7% of the time

EDB Ark vs Google Cloud SQL

Compared 5% of the time

More Google Cloud SQL Competitors

Product Reports

Buyer's Guide

Amazon RDS

October 2026

Download Amazon RDS product report

Buyer's Guide

Google Cloud SQL

October 2026

Download Google Cloud SQL product report

Also Known As

RDS

No data available

Overview

Amazon RDS offers scalability, high availability, and security. It supports multiple database engines and facilitates automated backups and data encryption, with a focus on user-friendly features.

Amazon RDS is a managed database service supporting engines like MySQL and PostgreSQL. It enhances resilience through Multi-AZ deployments and integrates with tools like CloudWatch for monitoring and cost management. Users appreciate its ease of use, performance insights, and the reduction in administrative tasks which enable them to concentrate on business objectives. However, some users find interface complexity and administrative privilege needs challenging, along with migration difficulties.

What are the key features of Amazon RDS?

Scalability: Supports storage and read replicas to handle growing data needs.
High Availability: Multi-AZ deployments ensure database resilience.
Security: Features such as data encryption and automated backups protect data.

What benefits should users expect?

Streamlined Administration: Reduces time spent on database management.
Improved Performance: Access to performance insights for optimization.
Cost Efficiency: Monitoring tools help manage and reduce costs.

In industries like web development, fintech, and e-commerce, Amazon RDS is utilized to optimize database handling, ensure high availability, and facilitate secure data transactions. Organizations often use AWS migration tools to transition from on-premises infrastructures to cloud environments, benefiting from managed services to focus on enhancement rather than maintenance.

Amazon Web Services (AWS)

Google Cloud SQL provides a fully managed database service underscoring ease of use, scalability, and integration with Google Cloud Platform services.

This platform facilitates database operations from automated backups to high availability, supporting databases like Postgres and MySQL. Its intuitive design eases management, while robust features like multi-region support and automatic scaling cater to developers seeking efficient infrastructure management without the burden of extensive backend tasks. Users from industries requiring scalable applications find it especially useful for its seamless integration with development projects and minimal maintenance demands, enabling a focus on innovative application development.

What are the standout features of Google Cloud SQL?

Automated Backups: Ensures data safety by automatically backing up databases.
Read Replicas: Enhances performance and availability with read operations across multiple copies.
Scalability: Provides dynamic scaling to handle workload changes efficiently.
High Availability: Offers reliable uptime with regional failover solutions.
Customization Flexibility: Adapts to specific needs with varied instance configurations.

What benefits should users explore in reviews?

Ease of Management: Simplifies database tasks allowing developers to concentrate on building applications.
Integration: Seamlessly connects with Google Cloud services enhancing operational capabilities.
Global Accessibility: Facilitates access to data from anywhere, supporting international operations.
Cost Efficiency: Reduces costs through its managed services model, reducing infrastructure overhead.

Industries leverage Google Cloud SQL within mobile applications, web frameworks, and marketing analytics. It supports hosting solutions in microservices and private VPC environments extending its use across internal and external infrastructure systems. By simplifying maintenance and migration from on-premises databases, companies achieve reliability and enhance their data management strategies.

Google

Sample Customers

Edmodo

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync

Buyer's Guide

Amazon RDS vs. Google Cloud SQL

November 2026

Free Report: Amazon RDS vs. Google Cloud SQL

Find out what your peers are saying about Amazon RDS vs. Google Cloud SQL and other solutions. Updated: November 2026.

DOWNLOAD NOW

920,769 professionals have used our research since 2012.

See our Amazon RDS vs. Google Cloud SQL report.

See our list of best Database as a Service (DBaaS) vendors and best Relational Databases Tools vendors.

We monitor all Database as a Service (DBaaS) reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.